Publication Date:
2015-09-10
Description:
Article Mathematical models are used to predict malaria burden to inform disease control efforts. Here, Cameron et al . use Bayesian statistics to calibrate previous models against a data set of age-structured prevalence and incidence, generating stratified forecasts of the prevalence–incidence relationship. Nature Communications doi: 10.1038/ncomms9170 Authors: Ewan Cameron, Katherine E. Battle, Samir Bhatt, Daniel J. Weiss, Donal Bisanzio, Bonnie Mappin, Ursula Dalrymple, Simon I. Hay, David L. Smith, Jamie T. Griffin, Edward A. Wenger, Philip A. Eckhoff, Thomas A. Smith, Melissa A. Penny, Peter W. Gething
Electronic ISSN:
2041-1723
Topics:
Biology
,
Chemistry and Pharmacology
,
Natural Sciences in General
,
Physics
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